STATISTICAL METHODS IN SIGNAL PROCESSING AND DISCRIMINATION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F10%3A00176076" target="_blank" >RIV/68407700:21340/10:00176076 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
STATISTICAL METHODS IN SIGNAL PROCESSING AND DISCRIMINATION
Original language description
We deal with the classification of acoustic emission signals by means of Fuzzy Clustering (FC), Model-Based Clustering (MBC) and Support Vector Machines (SVM). These methods belong to a different group of classification techniques, e.g. the SVM is searching for optimal separating hyperplanes between clusters. The signals are compared by means of suitable parameters obtained directly from the signals and from normed frequency spectra such as phi-divergence distance measure as the additional attribute. Weare concerned with resulting cluster comparisons and the selection of efficient classification parameters. We realize three experiments in the area of acoustic emission to test the proposed classification methods by means of laboratory data and also considering industrial data from the real life.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
DEFEKTOSKOPIE 2010 NDE for Safety PROCEEDINGS 40th International Conference
ISBN
978-80-214-4182-8
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Plzeň
Event date
Nov 10, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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